Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Machine Learning Operations
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying GenAI models, developing deep learning and neural network models, and working with chatbots and image processing. Roles & Responsibilities: - Develop and deploy AI models using Cloud AI services and tools. - Design and implement machine learning pipelines for production-ready quality. - Apply GenAI models as part of the solution. - Develop deep learning and neural network models. - Work with chatbots and image processing. - Collaborate with cross-functional teams to deliver impactful data-driven solutions. Professional & Technical Skills: - Must To Have Skills: Experience in Machine Learning Operations. - Must To Have Skills: Experience in Cloud AI services and tools. - Good To Have Skills: Experience in deep learning and neural network models. - Good To Have Skills: Experience in chatbots and image processing. - Strong understanding of machine learning algorithms and pipelines. - Experience in deploying machine learning models in production environments. Additional Information: - The candidate should have a minimum of 5 years of experience in Machine Learning Operations. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.

15 years full time education

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